[2026-02-07T03:45:16.839Z] Running test renaissance-movie-lens_0 ... [2026-02-07T03:45:16.839Z] =============================================== [2026-02-07T03:45:16.839Z] renaissance-movie-lens_0 Start Time: Sat Feb 7 03:45:16 2026 Epoch Time (ms): 1770435916684 [2026-02-07T03:45:16.839Z] variation: NoOptions [2026-02-07T03:45:16.839Z] JVM_OPTIONS: [2026-02-07T03:45:16.839Z] { \ [2026-02-07T03:45:16.839Z] echo ""; echo "TEST SETUP:"; \ [2026-02-07T03:45:16.839Z] echo "Nothing to be done for setup."; \ [2026-02-07T03:45:16.839Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17704349226741/renaissance-movie-lens_0"; \ [2026-02-07T03:45:16.839Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17704349226741/renaissance-movie-lens_0"; \ [2026-02-07T03:45:16.839Z] echo ""; echo "TESTING:"; \ [2026-02-07T03:45:16.839Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17704349226741/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-07T03:45:16.839Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17704349226741/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-07T03:45:16.839Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-07T03:45:16.839Z] echo "Nothing to be done for teardown."; \ [2026-02-07T03:45:16.839Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17704349226741/TestTargetResult"; [2026-02-07T03:45:16.839Z] [2026-02-07T03:45:16.839Z] TEST SETUP: [2026-02-07T03:45:16.839Z] Nothing to be done for setup. [2026-02-07T03:45:16.839Z] [2026-02-07T03:45:16.839Z] TESTING: [2026-02-07T03:45:22.448Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-07T03:45:34.149Z] 03:45:33.581 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-07T03:45:36.634Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-07T03:45:37.411Z] Training: 60056, validation: 20285, test: 19854 [2026-02-07T03:45:37.412Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-07T03:45:37.412Z] GC before operation: completed in 204.943 ms, heap usage 367.487 MB -> 74.479 MB. [2026-02-07T03:45:45.746Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T03:45:50.227Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T03:45:54.724Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T03:45:59.211Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T03:46:00.815Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T03:46:05.143Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T03:46:07.625Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T03:46:09.279Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T03:46:10.049Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T03:46:10.049Z] The best model improves the baseline by 14.52%. [2026-02-07T03:46:10.049Z] Top recommended movies for user id 72: [2026-02-07T03:46:10.049Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T03:46:10.049Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T03:46:10.049Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T03:46:10.049Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T03:46:10.049Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T03:46:10.049Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (32694.823 ms) ====== [2026-02-07T03:46:10.049Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-07T03:46:10.049Z] GC before operation: completed in 160.934 ms, heap usage 304.705 MB -> 85.545 MB. [2026-02-07T03:46:14.053Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T03:46:20.061Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T03:46:23.564Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T03:46:27.001Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T03:46:29.485Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T03:46:31.081Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T03:46:34.554Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T03:46:36.158Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T03:46:36.928Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T03:46:36.928Z] The best model improves the baseline by 14.52%. [2026-02-07T03:46:36.928Z] Top recommended movies for user id 72: [2026-02-07T03:46:36.928Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T03:46:36.928Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T03:46:36.928Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T03:46:36.928Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T03:46:36.928Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T03:46:36.928Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (26524.850 ms) ====== [2026-02-07T03:46:36.928Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-07T03:46:36.928Z] GC before operation: completed in 179.386 ms, heap usage 425.140 MB -> 87.706 MB. [2026-02-07T03:46:40.360Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T03:46:43.799Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T03:46:47.243Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T03:46:50.671Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T03:46:52.801Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T03:46:54.396Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T03:46:55.993Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T03:46:57.881Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T03:46:58.661Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T03:46:58.661Z] The best model improves the baseline by 14.52%. [2026-02-07T03:46:58.661Z] Top recommended movies for user id 72: [2026-02-07T03:46:58.661Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T03:46:58.661Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T03:46:58.661Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T03:46:58.661Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T03:46:58.661Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T03:46:58.661Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21686.714 ms) ====== [2026-02-07T03:46:58.661Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-07T03:46:58.661Z] GC before operation: completed in 174.591 ms, heap usage 240.841 MB -> 88.125 MB. [2026-02-07T03:47:02.118Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T03:47:05.553Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T03:47:08.994Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T03:47:12.442Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T03:47:14.045Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T03:47:15.671Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T03:47:18.152Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T03:47:19.752Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T03:47:19.752Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T03:47:19.752Z] The best model improves the baseline by 14.52%. [2026-02-07T03:47:19.752Z] Top recommended movies for user id 72: [2026-02-07T03:47:19.752Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T03:47:19.752Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T03:47:19.752Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T03:47:19.752Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T03:47:19.752Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T03:47:19.752Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21117.318 ms) ====== [2026-02-07T03:47:19.752Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-07T03:47:19.752Z] GC before operation: completed in 167.882 ms, heap usage 209.492 MB -> 88.402 MB. [2026-02-07T03:47:23.184Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T03:47:26.618Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T03:47:30.063Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T03:47:33.512Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T03:47:35.107Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T03:47:36.995Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T03:47:39.475Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T03:47:41.073Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T03:47:41.073Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T03:47:41.073Z] The best model improves the baseline by 14.52%. [2026-02-07T03:47:41.842Z] Top recommended movies for user id 72: [2026-02-07T03:47:41.843Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T03:47:41.843Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T03:47:41.843Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T03:47:41.843Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T03:47:41.843Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T03:47:41.843Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21383.280 ms) ====== [2026-02-07T03:47:41.843Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-07T03:47:41.843Z] GC before operation: completed in 144.732 ms, heap usage 161.441 MB -> 88.337 MB. [2026-02-07T03:47:44.322Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T03:47:47.758Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T03:47:51.187Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T03:47:53.659Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T03:47:56.134Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T03:47:57.735Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T03:47:59.330Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T03:48:00.924Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T03:48:01.702Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T03:48:01.702Z] The best model improves the baseline by 14.52%. [2026-02-07T03:48:01.702Z] Top recommended movies for user id 72: [2026-02-07T03:48:01.702Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T03:48:01.702Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T03:48:01.702Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T03:48:01.702Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T03:48:01.702Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T03:48:01.702Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19896.226 ms) ====== [2026-02-07T03:48:01.702Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-07T03:48:01.702Z] GC before operation: completed in 166.055 ms, heap usage 426.773 MB -> 88.923 MB. [2026-02-07T03:48:05.151Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T03:48:07.633Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T03:48:12.114Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T03:48:16.604Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T03:48:20.038Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T03:48:22.244Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T03:48:28.640Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T03:48:35.526Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T03:48:36.300Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T03:48:36.300Z] The best model improves the baseline by 14.52%. [2026-02-07T03:48:36.300Z] Top recommended movies for user id 72: [2026-02-07T03:48:36.300Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T03:48:36.300Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T03:48:36.300Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T03:48:36.300Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T03:48:36.300Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T03:48:36.301Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (34380.494 ms) ====== [2026-02-07T03:48:36.301Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-07T03:48:36.301Z] GC before operation: completed in 144.174 ms, heap usage 280.717 MB -> 88.698 MB. [2026-02-07T03:48:38.782Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T03:48:42.220Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T03:48:45.663Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T03:48:48.277Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T03:48:49.873Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T03:48:52.367Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T03:48:53.962Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T03:48:55.564Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T03:48:55.564Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T03:48:55.564Z] The best model improves the baseline by 14.52%. [2026-02-07T03:48:55.564Z] Top recommended movies for user id 72: [2026-02-07T03:48:55.564Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T03:48:55.564Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T03:48:55.564Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T03:48:55.564Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T03:48:55.564Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T03:48:55.564Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19595.096 ms) ====== [2026-02-07T03:48:55.564Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-07T03:48:56.334Z] GC before operation: completed in 162.177 ms, heap usage 403.864 MB -> 89.048 MB. [2026-02-07T03:48:58.824Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T03:49:02.262Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T03:49:05.705Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T03:49:08.723Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T03:49:09.507Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T03:49:11.994Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T03:49:13.602Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T03:49:15.214Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T03:49:15.214Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T03:49:15.214Z] The best model improves the baseline by 14.52%. [2026-02-07T03:49:15.987Z] Top recommended movies for user id 72: [2026-02-07T03:49:15.987Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T03:49:15.987Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T03:49:15.987Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T03:49:15.987Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T03:49:15.987Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T03:49:15.987Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19703.306 ms) ====== [2026-02-07T03:49:15.987Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-07T03:49:15.987Z] GC before operation: completed in 158.696 ms, heap usage 430.511 MB -> 88.899 MB. [2026-02-07T03:49:18.477Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T03:49:21.983Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T03:49:25.420Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T03:49:27.904Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T03:49:29.501Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T03:49:31.988Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T03:49:33.588Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T03:49:35.188Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T03:49:35.188Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T03:49:35.188Z] The best model improves the baseline by 14.52%. [2026-02-07T03:49:35.961Z] Top recommended movies for user id 72: [2026-02-07T03:49:35.961Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T03:49:35.961Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T03:49:35.961Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T03:49:35.961Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T03:49:35.961Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T03:49:35.961Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19771.920 ms) ====== [2026-02-07T03:49:35.961Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-07T03:49:35.961Z] GC before operation: completed in 159.812 ms, heap usage 236.249 MB -> 88.862 MB. [2026-02-07T03:49:38.449Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T03:49:41.880Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T03:49:45.326Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T03:49:47.806Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T03:49:49.925Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T03:49:51.530Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T03:49:53.132Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T03:49:54.726Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T03:49:54.726Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T03:49:55.495Z] The best model improves the baseline by 14.52%. [2026-02-07T03:49:55.495Z] Top recommended movies for user id 72: [2026-02-07T03:49:55.495Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T03:49:55.495Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T03:49:55.495Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T03:49:55.495Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T03:49:55.495Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T03:49:55.495Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19467.580 ms) ====== [2026-02-07T03:49:55.495Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-07T03:49:55.495Z] GC before operation: completed in 156.918 ms, heap usage 161.175 MB -> 88.565 MB. [2026-02-07T03:49:57.974Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T03:50:01.414Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T03:50:04.861Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T03:50:07.342Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T03:50:08.934Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T03:50:10.534Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T03:50:13.016Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T03:50:14.622Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T03:50:14.622Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T03:50:14.622Z] The best model improves the baseline by 14.52%. [2026-02-07T03:50:14.622Z] Top recommended movies for user id 72: [2026-02-07T03:50:14.622Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T03:50:14.622Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T03:50:14.622Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T03:50:14.622Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T03:50:14.622Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T03:50:14.622Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19437.348 ms) ====== [2026-02-07T03:50:14.622Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-07T03:50:15.393Z] GC before operation: completed in 149.790 ms, heap usage 160.819 MB -> 88.791 MB. [2026-02-07T03:50:17.880Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T03:50:20.363Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T03:50:23.809Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T03:50:26.293Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T03:50:27.899Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T03:50:30.373Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T03:50:31.548Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T03:50:34.028Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T03:50:34.028Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T03:50:34.028Z] The best model improves the baseline by 14.52%. [2026-02-07T03:50:34.028Z] Top recommended movies for user id 72: [2026-02-07T03:50:34.028Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T03:50:34.028Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T03:50:34.028Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T03:50:34.028Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T03:50:34.028Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T03:50:34.028Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18986.262 ms) ====== [2026-02-07T03:50:34.028Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-07T03:50:34.028Z] GC before operation: completed in 154.950 ms, heap usage 384.727 MB -> 89.146 MB. [2026-02-07T03:50:37.465Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T03:50:39.952Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T03:50:43.387Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T03:50:45.877Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T03:50:48.360Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T03:50:49.959Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T03:50:51.557Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T03:50:53.158Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T03:50:53.158Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T03:50:53.930Z] The best model improves the baseline by 14.52%. [2026-02-07T03:50:53.930Z] Top recommended movies for user id 72: [2026-02-07T03:50:53.930Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T03:50:53.930Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T03:50:53.930Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T03:50:53.930Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T03:50:53.930Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T03:50:53.930Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19522.762 ms) ====== [2026-02-07T03:50:53.930Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-07T03:50:53.930Z] GC before operation: completed in 149.154 ms, heap usage 257.026 MB -> 88.774 MB. [2026-02-07T03:50:56.407Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T03:50:59.848Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T03:51:03.279Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T03:51:05.753Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T03:51:08.233Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T03:51:09.823Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T03:51:11.414Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T03:51:13.018Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T03:51:13.791Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T03:51:13.791Z] The best model improves the baseline by 14.52%. [2026-02-07T03:51:13.791Z] Top recommended movies for user id 72: [2026-02-07T03:51:13.791Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T03:51:13.791Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T03:51:13.791Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T03:51:13.791Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T03:51:13.791Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T03:51:13.792Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19918.693 ms) ====== [2026-02-07T03:51:13.792Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-07T03:51:13.792Z] GC before operation: completed in 151.849 ms, heap usage 209.686 MB -> 88.946 MB. [2026-02-07T03:51:17.234Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T03:51:20.234Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T03:51:23.656Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T03:51:26.132Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T03:51:27.723Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T03:51:30.203Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T03:51:31.794Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T03:51:33.385Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T03:51:33.385Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T03:51:33.385Z] The best model improves the baseline by 14.52%. [2026-02-07T03:51:34.156Z] Top recommended movies for user id 72: [2026-02-07T03:51:34.156Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T03:51:34.156Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T03:51:34.156Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T03:51:34.156Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T03:51:34.156Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T03:51:34.156Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19913.335 ms) ====== [2026-02-07T03:51:34.156Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-07T03:51:34.156Z] GC before operation: completed in 144.373 ms, heap usage 247.533 MB -> 88.849 MB. [2026-02-07T03:51:36.637Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T03:51:40.075Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T03:51:43.508Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T03:51:45.985Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T03:51:47.593Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T03:51:49.194Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T03:51:51.692Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T03:51:53.291Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T03:51:53.291Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T03:51:53.291Z] The best model improves the baseline by 14.52%. [2026-02-07T03:51:53.291Z] Top recommended movies for user id 72: [2026-02-07T03:51:53.291Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T03:51:53.291Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T03:51:53.291Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T03:51:53.291Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T03:51:53.291Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T03:51:53.291Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19324.945 ms) ====== [2026-02-07T03:51:53.291Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-07T03:51:53.291Z] GC before operation: completed in 165.381 ms, heap usage 341.687 MB -> 89.078 MB. [2026-02-07T03:51:56.732Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T03:51:59.721Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T03:52:03.154Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T03:52:05.629Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T03:52:07.224Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T03:52:08.824Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T03:52:11.289Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T03:52:12.889Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T03:52:12.889Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T03:52:12.889Z] The best model improves the baseline by 14.52%. [2026-02-07T03:52:12.889Z] Top recommended movies for user id 72: [2026-02-07T03:52:12.889Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T03:52:12.889Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T03:52:12.889Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T03:52:12.889Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T03:52:12.889Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T03:52:12.889Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19746.375 ms) ====== [2026-02-07T03:52:12.889Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-07T03:52:13.660Z] GC before operation: completed in 142.592 ms, heap usage 164.044 MB -> 88.751 MB. [2026-02-07T03:52:16.137Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T03:52:19.569Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T03:52:23.023Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T03:52:26.096Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T03:52:28.576Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T03:52:30.166Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T03:52:31.770Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T03:52:33.375Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T03:52:34.152Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T03:52:34.152Z] The best model improves the baseline by 14.52%. [2026-02-07T03:52:34.152Z] Top recommended movies for user id 72: [2026-02-07T03:52:34.152Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T03:52:34.152Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T03:52:34.152Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T03:52:34.152Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T03:52:34.152Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T03:52:34.152Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (20799.790 ms) ====== [2026-02-07T03:52:34.152Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-07T03:52:34.152Z] GC before operation: completed in 139.225 ms, heap usage 236.580 MB -> 88.822 MB. [2026-02-07T03:52:37.592Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-07T03:52:40.077Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-07T03:52:43.760Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-07T03:52:46.242Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-07T03:52:47.837Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-07T03:52:50.331Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-07T03:52:51.927Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-07T03:52:53.520Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-07T03:52:53.520Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-07T03:52:53.520Z] The best model improves the baseline by 14.52%. [2026-02-07T03:52:53.520Z] Top recommended movies for user id 72: [2026-02-07T03:52:53.520Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-07T03:52:53.520Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-07T03:52:53.520Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-07T03:52:53.520Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-07T03:52:53.520Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-07T03:52:53.520Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19574.010 ms) ====== [2026-02-07T03:52:54.289Z] ----------------------------------- [2026-02-07T03:52:54.289Z] renaissance-movie-lens_0_PASSED [2026-02-07T03:52:54.289Z] ----------------------------------- [2026-02-07T03:52:54.289Z] [2026-02-07T03:52:54.289Z] TEST TEARDOWN: [2026-02-07T03:52:54.289Z] Nothing to be done for teardown. [2026-02-07T03:52:54.289Z] renaissance-movie-lens_0 Finish Time: Sat Feb 7 03:52:53 2026 Epoch Time (ms): 1770436373881